AI Solution Architect
Listed on 2026-05-31
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IT/Tech
Systems Engineer, Cybersecurity, AI Engineer
Job Number: R0240093
AI Solution Architect
OverviewDesign and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs, while complying with the organization's strategies and business goals, and key ethical considerations. Apply advanced skills, extensive technical expertise, and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction and mentor and supervise team members.
Qualifications- 6+ years of experience architecting and delivering AI-enabled mission or enterprise systems, including data integration, secure compute, and operator‑facing applications across restricted or classified environments
- 6+ years of experience designing and implementing data pipelines, ontologies, and application workflows on platforms such as Palantir Foundry or Gotham, including airgapped, degraded connectivity, or multi‑classification deployments
- 6+ years of experience building secure analytics ecosystems, including log pipelines, monitoring frameworks, operational dashboards, or intelligence fusion environments, such as greenfield or migrated from legacy tooling
- 6+ years of experience with Dev Sec Ops practices such as containerization, orchestration, CI/CD, and automated testing adapted for limited toolchain environments where standard pipelines don't fully apply
- 6+ years of experience integrating AI/ML capabilities into production workflows or operator tooling, including LLM‑backed assistants, model‑augmented decision aids, or automation that expands what a small team can deliver
- 6+ years of experience making sound architectural trade‑offs in constrained, shifting, or high‑pressure mission conditions such as restricted toolsets, tight timelines, fragmented networks, or mid‑execution requirement changes
- Ability to quickly learn unfamiliar technologies, develop real hands‑on mastery, and lead engineers through full implementation with confidence
- Ability to architect under ambiguity, own outcomes end‑to‑end, and communicate decisions clearly to engineers, government stakeholders, and senior non‑technical leaders
- Secret clearance
- Bachelor's degree
- Experience working across multiple clouds, enclaves, or classification levels on the same program, including translating architectures between NIPR, SIPR, JWICS, or coalition equivalents
- Experience on major defense programs or with large systems integrators, delivering mission capability while navigating bureaucratic, acquisition, or compliance friction
- Experience supporting DoD installations, operational units, or C2 systems, including when the inherited environment was undocumented, partially broken, or technically inconsistent
- Experience building agentic workflows, automation pipelines, or custom tooling that materially increased engineering throughput or reduced operator friction
- Experience in a technical lead role where you were accountable for both the design and successful delivery of the system
- Experience operating on a tiger team, flyaway cell, or rapid‑response unit, parachuting into complex problems, delivering under compressed timelines, and exiting cleanly
- Top Secret clearance
- AWS, Palantir Foundry, Gotham, Kubernetes, or comparable architecture certification(s)
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret clearance is required.
Salary range: $99,000 to $225,000 annually.
EEO StatementAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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